Staff Product Manager, Agentic Experiences

Salesloft Salesloft · Enterprise · United States · Product Management

Staff Product Manager to own the end-to-end product strategy for agentic selling experiences, defining how AI agents act on a seller's behalf with transparency, control, and trust, and establishing success metrics for novel problems.

What you'd actually do

  1. Own the end-to-end product strategy for our agentic selling experiences. This is a complex, fast-moving problem area where you’ll set direction, sequence the roadmap, and resolve hard tradeoffs with limited precedent.
  2. Define what it means for AI agents to act on a seller's behalf by designing agentic experiences that are transparent, controllable, and trustworthy, with the right guardrails, human-in-the-loop checkpoints, and evaluation criteria for agent quality.
  3. Exercise deep product judgment on novel problems by selecting the methods, frameworks, and success metrics for work that doesn’t yet have an established playbook, and pressure-testing your approach through peer and cross-functional review.
  4. Lead through influence as a cross functional leader and coordinating cross-functional pods across engineering, design, and data science, and guiding and mentoring other product managers without direct reporting authority.

Skills

Required

  • 8+ years of product management experience in a B2B SaaS environment.
  • Deep understanding of how enterprise sales teams operate: deal structure, multi-stakeholder dynamics, buying committee complexity, and how revenue leaders coach and manage performance.
  • Demonstrated experience building or shipping AI/ML-powered product features.
  • Experience with agentic AI systems, next-best-action frameworks, or intelligent workflow automation, either as a product builder or as a sophisticated buyer/user.
  • Strong platform intuition: you've owned or contributed to API strategy, developer experience, or enterprise admin capabilities before.
  • Experience with CRM integrations and an understanding of data sync complexity, bidirectional workflows, and the trust challenges that come with maintaining data fidelity across systems.
  • Track record of shipping multi-channel communication products or workflow orchestration at scale, with strong opinions on what makes execution experiences actually useful to sellers.
  • Exceptional ability to hold both strategic vision and ground-level execution detail simultaneously.
  • Strong communicator who can adapt their message for engineers, designers, executives, and customers.
  • Experience with signal-based or intent-driven product capabilities (first-party behavioral data, third-party data enrichment, or event-driven architectures)

Nice to have

  • Ideally in sales technology, revenue intelligence, or an adjacent vertical.

What the JD emphasized

  • agentic experiences
  • no established playbook
  • novel problems
  • AI agents
  • guardrails

Other signals

  • AI agents acting on a seller's behalf
  • transparent, controllable, and trustworthy agentic experiences
  • human-in-the-loop checkpoints
  • evaluation criteria for agent quality
  • problems with no established playbook